60 citations · 124 across the 19 of their papers we have counts for
3 papers · 1 filter
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective
Ronak Mehta, Hyunwoo J. Kim, Shulei Wang +3
Recent results in coupled or temporal graphical models offer schemes for estimating the relationship structure between features when the data come from related (but distinct) longi…
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, -consistency and Neuroscience Applications
Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu +3
Many studies in biomedical and health sciences involve small sample sizes due to logistic or financial constraints. Often, identifying weak (but scientifically interesting) associa…
On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation
Vamsi K Ithapu, Sathya N Ravi, Vikas Singh
We study mechanisms to characterize how the asymptotic convergence of backpropagation in deep architectures, in general, is related to the network structure, and how it may be infl…